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Data Annotation Research Jobs in Bothell, WA (NOW HIRING)

Alignerr

Oncology Clinical Researcher

Seattle, WA · Remote

... cancer research * Work independently and asynchronously on your own schedule Who You Are ... Prior experience with data annotation, data quality review, or AI evaluation workflows * Background ...

BCForward

AR/VR Data Operations Technician

Redmond, WA · On-site

$25 - $26/hr

... data annotation and a proven ability to execute protocols accurately, generate high-quality ... device research teams. · Strong attention to detail and ability to follow complex protocols ...

New

Amazon

AI Tutor, Rufus, Amazon Rufus

Seattle, WA · On-site

... with product research, providing comparisons and recommendations, answering specific product ... BASIC QUALIFICATIONS - Experience in natural language data labeling, data annotation, linguistic ...

Alignerr

Health Policy & Management

Seattle, WA · Remote

$123K - $132.70K/yr

Experience with data annotation, quality review, or evaluation workflows * Proficiency in data analysis tools such as R, SAS, or Stata * Background in health communication, clinical research ...

Handshake

AI Red Teamer (LLM Generalist)

Seattle, WA · On-site

... data annotation and rubric-based scoring • Prior work in trust and safety, content moderation, QA, or security research • Subject matter expertise in any high-risk domain (cybersecurity ...

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Data Annotation Research information

What are the key skills and qualifications needed to thrive as a Data Annotation Researcher, and why are they important?

To thrive as a Data Annotation Researcher, you need strong attention to detail, analytical thinking, and familiarity with data labeling concepts, often supported by a degree in computer science, linguistics, or a related field. Experience with annotation platforms, data management tools, and sometimes knowledge of programming languages like Python are typically required. Excellent communication, problem-solving abilities, and the capacity to work independently set standout contributors apart. These skills ensure high-quality, accurate data labeling, which is crucial for developing reliable AI and machine learning models.

What are some common challenges faced in Data Annotation Research roles, and how can they be addressed?

Professionals in Data Annotation Research often encounter challenges such as maintaining consistency in labeling, dealing with ambiguous data, and managing large datasets efficiently. These issues can be addressed by following detailed annotation guidelines, participating in regular calibration sessions with the team, and utilizing annotation tools that support quality control checks. Collaboration with data scientists and project managers is essential to clarify ambiguities and ensure that annotated data meets the project's requirements. Staying proactive in communication and continuous learning helps to minimize errors and improve overall data quality.

What is data annotation research?

Data annotation research involves studying and developing methods for labeling data, such as images, text, or audio, to be used in training machine learning models. Researchers in this field focus on improving annotation accuracy, efficiency, and scalability, as well as addressing challenges like bias and consistency. This work is critical because high-quality annotated data is essential for building effective AI systems. Data annotation research often includes exploring new tools, techniques, and guidelines for human annotators or automated labeling systems.

What is the difference between Data Annotation Research vs Data Labeling Specialist?

AspectData Annotation ResearchData Labeling Specialist
CredentialsTypically requires a background in data science, research methods, or related fieldsOften requires basic technical skills and experience with labeling tools
Work EnvironmentResearch labs, tech companies, or remote research teamsData centers, tech companies, or remote labeling teams
Industry UsageUsed in AI/ML research, developing annotation methodologiesUsed in preparing datasets for machine learning models
Search & Comparison IntentUnderstanding research-focused roles in data annotationLooking for practical data labeling jobs

Data Annotation Research involves exploring new annotation techniques and improving data quality for AI models, often requiring research skills. In contrast, Data Labeling Specialists focus on applying existing labeling tools to annotate datasets efficiently. Both roles are essential in AI development but differ in scope and expertise.

What are popular job titles related to Data Annotation Research jobs in Bothell, WA? For Data Annotation Research jobs in Bothell, WA, the most frequently searched job titles are:
What job categories do people searching Data Annotation Research jobs in Bothell, WA look for? The top searched job categories for Data Annotation Research jobs in Bothell, WA are:
What cities near Bothell, WA are hiring for Data Annotation Research jobs? Cities near Bothell, WA with the most Data Annotation Research job openings:
Data Annotation Research jobs near you
Human Factors Research Engineer, AIML Data Operations

Human Factors Research Engineer, AIML Data Operations

Apple

Seattle, WA

$171.60K - $258.10K/yr

Full-time

Medical, Dental, Retirement

Posted 13 days ago

Apple rating

8.1

Company rating: 8.1 out of 10

Based on 661 frontline employees who took The Breakroom Quiz

6th of 30 rated technology retailers

Job description

Apple is where individual imaginations gather together, committing to the values that lead to great work. It's the diversity of our people and their thinking that inspires the innovation that runs through everything we do. Here, you'll do more than join something - you'll add something.
Imagine what human factors research can do at Apple. At Apple, great ideas quickly become extraordinary user experiences. Are you excited to take on big challenges that create a positive impact for billions of people? Are you passionate about engaging directly with people to research and design elegant Apple experiences?
We are looking for a talented, creative and technical user experience researcher to optimize the design of annotation workflows and analyst tools that contribute to Apple's most strategic AI initiatives.
Description
Our organization is responsible for delivering high-quality, human-annotated, machine learning data at scale for product teams across Apple. We are both an operations team and a trusted partner in the development of Apple’s consumer software and hardware experiences. This global data annotation and collection initiative enables Apple to create amazing new experiences and advance flagship experiences like Apple Intelligence and Vision Pro.","responsibilities":"As a human factors researcher, you will focus on optimizing software products and annotation workflows for our global operations. You will work directly with data analysts and annotation specialists to research human performance and design solutions for diverse languages, cultures, and abilities.
Preferred Qualifications
Proactive, curious, data-driven, and collaborative
Proficient in data exploration and data analysis languages or tools such as SQL, Python, or R Studio
Industry experience working with UX designers and software engineers to develop highly-usable and performant interfaces
Published research in human-in-the-loop evaluation or data annotation workflows
Minimum Qualifications
MS or PhD in Computer Science, Human-Computer Interaction or equivalent degree
3+ years of experience in mixed-methods human factors research, especially in evaluating user interface designs
Expert in qualitative and quantitative experimental design, statistical data analysis, and reporting
Excellent listening, communication and interview skills in both individual and focus group settings
Experience with human-in-the-loop evaluation, data annotation workflows, or AI/LLM model development
Pay & Benefits
At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $171,600 and $258,100, and your base pay will depend on your skills, qualifications, experience, and location.
Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.

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About Apple

Sourced by ZipRecruiter

Imagine what you could do here! At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Dynamic, intelligent people and inspiring, innovative technologies are the norm here. The people who work here have reinvented entire industries with all Apple Hardware products. The same real passion for innovation that goes into our products also applies to our practices strengthening our dedication to leave the world better than we found it.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Cupertino, CA, US

Year founded

1976

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